Mailman 3 January 2018 - Python-announce-list

The Real-Time Use of Python in Data Science World!
by Anita Goyal March 7, 2020

March 7, 2020

This course will help you to expertise the usage of Python in Data Science world. Carter your Python Knowledge so that it can be utilized to get the Insights of Data using Methodologies and Techniques of Data Science... Objective: Understand the concepts of Data science and Python You will be able to use Python in Discovering Data. You will have an idea of Statistical and Analytical methods to deal with huge data sets. You will gain an expertise on Regular Expressions, looping functions and … [View More]

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ANN: ReportLab Book Kickstarter
by Mike Driscoll Jan. 31, 2018

Jan. 31, 2018

I have recently started my 4th self-published book, ReportLab: PDF Processing with Python. This is the first book on ReportLab, a great package for creating reports in the PDF format. You can read more about it here: https://www.kickstarter.com/projects/34257246/reportlab-pdf-processing-with… Thanks, Mike

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Leo 5.7b1 released
by Edward K. Ream Jan. 30, 2018

Jan. 30, 2018

Leo <http://leoeditor.com/> 5.7b1 is now available on SourceForge <http://sourceforge.net/projects/leo/files/Leo/> and on GitHub <https://github.com/leo-editor/leo-editor>. Leo is an IDE, outliner and PIM, as described here <http://leoeditor.com/preface.html>. Simulating Leo's features in Vim, Emacs or Eclipse is possible, just as it is possible to simulate Python in assembly language... *The highlights of Leo 5.7* - Added Debian package for Leo. - pip install … [View More]

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pytest 3.4.0 released!
by Bruno Oliveira Jan. 30, 2018

Jan. 30, 2018

The pytest team is proud to announce the 3.4.0 release! pytest is a mature Python testing tool with more than a 1600 tests against itself, passing on many different interpreters and platforms. This release contains considerable improvements to the logging facilities as well as other fixes and improvements, so users are encouraged to take a look at the CHANGELOG: http://doc.pytest.org/en/latest/changelog.html For complete documentation, please visit: http://docs.pytest.org As … [View More]

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[ANN ] Jupyter tools: tex2ipy and ipyaml v 0.3
by Prabhu Ramachandran Jan. 28, 2018

Jan. 28, 2018

Hi everyone, I'd like to announce new releases of tex2ipy and ipyaml on pypi. tex2ipy: https://github.com/prabhuramachandran/tex2ipy This simple tool makes it relatively easy to convert a LaTeX beamer presentation to a Jupyter/IPython notebook using RISE[1]. This version fixes some issues, works with the latest version of TexSoup and nbformat. The second tool is: ipyaml: https://github.com/prabhuramachandran/ipyaml This allows Jupyter to store notebook files as easy-to-edit YAML files. … [View More]

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Welcome the 3.8 and 3.9 Release Manager - Łukasz Langa!
by Barry Warsaw Jan. 27, 2018

Jan. 27, 2018

As Ned just announced, Python 3.7 is very soon to enter beta 1 and thus feature freeze. I think we can all give Ned a huge round of applause for his amazing work as Release Manager for Python 3.6 and 3.7. Let’s also give him all the support he needs to make 3.7 the best version yet. As is tradition, Python release managers serve for two consecutive releases, and so with the 3.7 release branch about to be made, it’s time to announce our release manager for Python 3.8 and 3.9. By unanimous … [View More]

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[RELEASED] Python 3.4.8rc1 and Python 3.5.5rc1 are now available
by Larry Hastings Jan. 23, 2018

Jan. 23, 2018

On behalf of the Python development community, I'm pleased to announce the availability of Python 3.4.8rc1 and Python 3.5.5rc1. Both Python 3.4 and 3.5 are in "security fixes only" mode. Both versions only accept security fixes, not conventional bug fixes, and both releases are source-only. You can find Python 3.4.8rc1 here: https://www.python.org/downloads/release/python-348rc1/ And you can find Python 3.5.5rc1 here: https://www.python.org/downloads/release/python-355rc1/ Happy Pythoning, //arry/

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[ANN ] Jupyter tools: tex2ipy and ipyaml v 0.3
by Prabhu Ramachandran Jan. 23, 2018

Jan. 23, 2018

Hi everyone, I'd like to announce new releases of tex2ipy and ipyaml on pypi. tex2ipy: https://github.com/prabhuramachandran/tex2ipy This simple tool makes it relatively easy to convert a LaTeX beamer presentation to a Jupyter/IPython notebook using RISE[1]. This version fixes some issues, works with the latest version of TexSoup and nbformat. The second tool is: ipyaml: https://github.com/prabhuramachandran/ipyaml This allows Jupyter to store notebook files as easy-to-edit YAML files. … [View More]

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ANN: ndtypes/xnd 0.2.0b1 released
by Stefan Krah Jan. 21, 2018

Jan. 21, 2018

Hello, this is the first release (beta) of two Python modules for describing and manipulating unboxed in-memory data. ndtypes ======= ndtypes is based on the libndtypes C-library. libndtypes has four main purposes: 1) Typing a memory block (abstract type). 2) Storing the exact layout information of a memory block (concrete type). 3) Constructing the type from a close variant of the datashape type language. 3) Dynamic type checking of memory blocks by pattern-matching an … [View More]abstract function signature against the types of concrete input arguments. ndtypes implements all the heavy-lifting for typing and handling memory blocks and is meant to be used as a foundation for other modules. xnd === xnd is based on the libxnd C-library and the ndtypes module. It defines and manages typed memory blocks. Because libndtypes has full layout information, the xnd memory block is a small C-struct that contains bitmaps for optional data, a linear index for addressing bitmaps, the type and the data pointer. This makes it easy to implement lightweight memory views that support the whole range of C types relevant for scientific computing. Since libndtypes uses a standard algebraic data type to store recursive type and layout information, mapping and unpacking nested Python values directly to memory is straightforward. Unless the type contains explicit pointer types like references, bytes or strings, a single, pointer-free memory block is allocated. List of xnd's features ---------------------- 1) Missing values (NA) are supported for all data. The bitmaps are Arrow compatible. 2) ndarrays with arbitrarily nested element types and optional values. 3) Ragged arrays using offset addressing with nested element types and optional values. The ragged array type is compatible with the Arrow list type. 4) Slicing and multi-dimensional indexing. Slicing and indexing returns fully typed views on the data. 5) First class tuples and records with detailed explicit alignment and packing. 6) Constructor types (Joule(float32) != Ampere(float32)). 7) Reference types for compatibility with other memory block libraries. 8) Buffer protocol support for importing other memory blocks while translating PEP-3118 format strings to datashape. Links ===== https://github.com/plures/ndtypes http://ndtypes.readthedocs.io/en/latest/ https://pypi.python.org/pypi/ndtypes/0.2.0b1 https://github.com/plures/xnd http://xnd.readthedocs.io/en/latest/ https://pypi.python.org/pypi/xnd/0.2.0b1 Checksums ========= 815455812cdeb0f8bd6c6d2111aca1c3ed23760d3c5a62dd45de20b37e01c0b1 ndtypes-0.2.0b1.tar.gz fbfc4060fd95057d9882ae281b7d2b1b102283b8459ef5bfd8d4ffb21200d8df xnd-0.2.0b1.tar.gz Stefan Krah [View Less]

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ANN: homography 0.1
by Amit Aronovitch Jan. 19, 2018

Jan. 19, 2018

We are pleased to announce `homography`, a package for representation and manipulation of 2D projective transformations (a construct which is commonly used for image processing and computer graphics). Supported on Python>=3.4. Suggestions and contributions are welcome. Installation: `pip install homography` Documentation: https://satellogic.github.io/homography/ Code & Issues: https://github.com/satellogic/homography Regards, Amit Aronovitch, on behalf of the satellogic-devs team

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